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Analysis, company spotlights, market reports, and expert insights on AI + Finance.
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Agentic Finance: The Companies Building Autonomous AI for Financial Services
Thirty-five companies in the AIFI directory now classify as agentic AI builders. Here is what agentic finance means, why the shift from assistive to autonomous matters, and who is leading the build.
ERC-8004 AI Agents in Financial Services: What's Live Right Now
ERC-8004 creates an on-chain registry for AI agents on EVM blockchains. One hundred forty-four agents are now classified for finance relevance. Here is what the standard enables, what is live, and what it means.
Financial AI Market Map 2026: 433 Companies Across 9 Segments
A data-driven overview of the financial AI landscape: 433 companies, $184 billion in disclosed funding, 9 market segments, 5 tech layers, and the structural patterns that define where the market is dense and where it is not.
Latest
ESG Scoring and AI: Can Machine Learning Fix Sustainability Ratings?
The same company can receive an ESG score of 65 from one provider and 30 from another. This ratings divergence problem has made ESG data unreliable for investors. A growing number of startups think ML and NLP can close the gap.
High-Frequency Trading and AI: Inside Modern Market Microstructure
HFT firms execute roughly 50% of US equity volume. The public narrative focuses on speed. The actual edge is increasingly about ML-based signal extraction and inventory management.
Robo-Advisors in 2025: The Second Wave of Automated Wealth Management
The first generation of robo-advisors automated portfolio allocation and tax-loss harvesting. Ten years later, the category has $500 billion in AUM and is evolving in directions the original founders didn't anticipate.
Cyber Insurance and AI: How Machine Learning Prices Digital Risk
The cyber insurance market hit $14 billion in premiums in 2024 and is growing at 25% annually. The fundamental problem: pricing risk when the threat changes faster than actuarial tables can be updated.
NLP for Investment Research: How AI Reads Earnings Calls and SEC Filings
Every quarter, roughly 10,000 US public companies file earnings reports and host conference calls. No human can read them all. NLP systems now extract tradeable signals from this firehose of financial text in minutes.
AI in Debt Collection: How Machine Learning Is Replacing the Phone Call
The US consumer debt collection industry contacts over 70 million people per year. A new generation of companies is using ML to determine when, how, and whether to reach out, with measurably better recovery rates and fewer complaints.
Document AI in Financial Services: How Machines Read the Paperwork
A single mortgage application involves roughly 500 pages of documents. Until recently, humans read all of them. The companies building document intelligence for finance are now processing billions of pages per year.
RegTech in 2025: How AI Automates Regulatory Reporting and Compliance
Global banks spend over $270 billion annually on compliance. Most of that budget goes to manual processes that AI can partially automate, but the gap between vendor promises and production reality remains wide.
Alternative Data for Investing: Satellites, Web Scraping, and the New Information Edge
Hedge funds spent an estimated $7 billion on alternative data in 2024. Most of it was wasted. The categories that produce real alpha are narrower than the vendor pitch decks suggest.